Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning

• Conference Proceedings
• DOI reference: 10.48550/arxiv.2402.02665

A NetHack Learning Environment Language Wrapper for Autonomous Agents

• Journals
• DOI reference: 10.5334/JORS.444

Scalar Reward is Not Enough JAAMAS Track

• Conference Proceedings
• DOI reference:

Persistent rule-based interactive reinforcement learning

• Journals
• DOI reference: 10.1007/s00521-021-06466-w

A conceptual framework for externally-influenced agents: an assisted reinforcement learning review

• Journals
• DOI reference: 10.1007/s12652-021-03489-y

Human engagement providing evaluative and informative advice for interactive reinforcement learning

• Journals
• DOI reference: 10.1007/s00521-021-06850-6

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)

• Journals
• DOI reference: 10.1007/s10458-022-09575-5

Statistical Calibration of Long-Term Reanalysis Data for Australian Fire Weather Conditions

• Journals
• DOI reference: 10.1175/JAMC-D-21-0034.1

Discrete-to-deep reinforcement learning methods

• Journals
• DOI reference: 10.1007/s00521-021-06270-6

An evaluation methodology for interactive reinforcement learning with simulated users

• Journals
• DOI reference: 10.3390/biomimetics6010013

Language Representations for Generalization in Reinforcement Learning

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Potential-based multiobjective reinforcement learning approaches to low-impact agents for AI safety

• Journals
• DOI reference: 10.1016/j.engappai.2021.104186

The impact of environmental stochasticity on value-based multiobjective reinforcement learning

• Journals
• DOI reference: 10.1007/s00521-021-05859-1

Levels of explainable artificial intelligence for human-aligned conversational explanations

• Journals
• DOI reference: 10.1016/j.artint.2021.103525

Discrete-to-Deep Supervised Policy Learning An effective training method for neural reinforcement learning

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Towards Machine Learning approach for Digital-Health intervention program

• Conference Proceedings
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An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation

• Conference Proceedings
• DOI reference: 10.1007/978-3-030-35288-2_5

Relevance of Frequency of Heart-Rate Peaks as Indicator of 'Biological' Stress Level

• Conference Proceedings
• DOI reference: 10.1007/978-3-030-04239-4_54

SoniFight: Software to Provide Additional Sonification Cues to Video Games for Visually Impaired Players

• Journals
• DOI reference: 10.1007/s40869-018-0059-6

Modeling neurocognitive reaction time with Gamma distribution

• Conference Proceedings
• DOI reference: 10.1145/3167918.3167941

Human-aligned artificial intelligence is a multiobjective problem

• Journals
• DOI reference: 10.1007/s10676-017-9440-6

Non-functional regression: A new challenge for neural networks

• Journals
• DOI reference: 10.1016/j.neucom.2018.06.066

Steering approaches to Pareto-optimal multiobjective reinforcement learning

• Journals
• DOI reference: 10.1016/j.neucom.2016.08.152

Softmax exploration strategies for multiobjective reinforcement learning

• Journals
• DOI reference: 10.1016/j.neucom.2016.09.141

Portal-based Sound Propagation for First-Person Computer Games

• Conference Proceedings
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Reinforcement learning of pareto-optimal multiobjective policies using steering

• Conference Proceedings
• DOI reference: 10.1007/978-3-319-26350-2_53

Caliko: An Inverse Kinematics Software Library Implementation of the FABRIK Algorithm

• Journals
• DOI reference: 10.5334/jors.116